Results 201 to 210 of about 28,744 (310)

Severity‐Based Prioritisation of Administrative Tax Non‐Compliance: A Multiclass Prediction Approach Using Financial and Governance Data

Intelligent Systems in Accounting, Finance and Management, Volume 33, Issue 2, June 2026.
ABSTRACT Tax authorities face growing volumes of filings and payments and must manage procedural non‐compliance (e.g., late filing, late payment and the accumulation of tax arrears) with limited administrative capacity. Many existing machine learning (ML) and artificial intelligence (AI) applications in tax administration rely on binary outcomes, which
Lenka Papíková, Mário Papík
wiley   +1 more source

Regularized regression models for accurate prediction of HIV progression in ART patients: a comparative study. [PDF]

Sci Rep
Owoade GO, Okewole DM, Nziku CK, Lukman AF.   +3 more
europepmc   +1 more source

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3519-3535, June 2026.
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul, Cecilia Liang, Isabelle Loster, Lavanya Umapathy, Bernd Kühn, Petros Martirosian, Ferdinand Seith, Sergios Gatidis, Thomas Küstner   +8 more
wiley   +1 more source

Predicting Cycle Life for Lithium-Ion Batteries with Ternary Cathode Materials Using Data-Driven Machine Learning. [PDF]

ACS Omega
Li L, Yue P, Tang C, Qi X, Chao L, Gao Y, Wang X, Zhang Y, Wu C, Liu F, Du G, Wu Y, Hong Z.   +12 more
europepmc   +1 more source

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning

NMR in Biomedicine, Volume 39, Issue 6, June 2026.
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi, Shashank Sule, Jonathan Palumbo, Michael Rozowski, Griffin S. Hampton, Mustapha Bouhrara, Wojciech Czaja, Richard G. Spencer   +7 more
wiley   +1 more source

Gradient responsive regularization: a deep learning framework for codon frequency based classification of evolutionarily conserved genes. [PDF]

BMC Genom Data
Shahzad A, Mehmood T, Akram S.
europepmc   +1 more source

Viscoplastic Modeling the Evolving Mechanical Properties of Shotcrete 3D Printing Material

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT In recent years, additive manufacturing in construction (AMC) has gradually influenced the building industry by offering a faster and more efficient way to build with concrete. Unlike traditional methods that rely on molds, AMC deposits material layer by layer through an automated process, enabling new possibilities for custom designs and ...
Quoc Tuan La, Knut Andreas Meyer, Stefan Kollmannsberger, Ralf Jänicke   +3 more
wiley   +1 more source

Descriptor-Guided Selection of Extracellular Vesicle Loading Strategies for Small-Molecule Drug Delivery: A Mechanistically Interpretable Decision-Support Framework. [PDF]

Pharmaceutics
Zelkó R, Kazsoki A.
europepmc   +1 more source

Hybrid Data‐Driven and Physics‐Informed Learning of Cyclic Plasticity For Pipe Steel

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT An efficient and explainable machine learning (ML) approach is presented, replacing conventional material models based on the radial return mapping (RRM) algorithm for the constitutive modeling of cyclic plasticity in 3D. The application of transfer learning, based on an existing model for a separate class of steel, leads to a significant ...
Stefan Hildebrand, Sandra Klinge
wiley   +1 more source

Using wearable data to detect depression severity across clinical and non-clinical samples. [PDF]

Sci Rep
Hehlmann MI, Tutunji R, Lutz W, Rieble CL, Proppert RKK, Mink F, Rubel JA, Schreuder M, Fried EI.   +8 more
europepmc   +1 more source